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The Tumor Microenvironment of DLBCL in the Computational Era
Among classical exemplifications of tumor microenvironment (TME) in lymphoma pathogenesis, the “effacement model” resembled by diffuse large B cell lymphoma (DLBCL) implies strong cell autonomous survival and paucity of non-malignant elements. Nonetheless, the magnitude of TME exploration is increas...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7136462/ https://www.ncbi.nlm.nih.gov/pubmed/32296632 http://dx.doi.org/10.3389/fonc.2020.00351 |
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author | Opinto, Giuseppina Vegliante, Maria Carmela Negri, Antonio Skrypets, Tetiana Loseto, Giacomo Pileri, Stefano Aldo Guarini, Attilio Ciavarella, Sabino |
author_facet | Opinto, Giuseppina Vegliante, Maria Carmela Negri, Antonio Skrypets, Tetiana Loseto, Giacomo Pileri, Stefano Aldo Guarini, Attilio Ciavarella, Sabino |
author_sort | Opinto, Giuseppina |
collection | PubMed |
description | Among classical exemplifications of tumor microenvironment (TME) in lymphoma pathogenesis, the “effacement model” resembled by diffuse large B cell lymphoma (DLBCL) implies strong cell autonomous survival and paucity of non-malignant elements. Nonetheless, the magnitude of TME exploration is increasing as novel technologies allow the high-resolution discrimination of cellular and extra-cellular determinants at the functional, more than morphological, level. Results from genomic-scale studies and recent clinical trials revitalized the interest in this field, prompting the use of new tools to dissect DLBCL composition and reveal novel prognostic association. Here we revisited major controversies related to TME in DLBCL, focusing on the use of bioinformatics to mine transcriptomic data and provide new insights to be translated into the clinical setting. |
format | Online Article Text |
id | pubmed-7136462 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71364622020-04-15 The Tumor Microenvironment of DLBCL in the Computational Era Opinto, Giuseppina Vegliante, Maria Carmela Negri, Antonio Skrypets, Tetiana Loseto, Giacomo Pileri, Stefano Aldo Guarini, Attilio Ciavarella, Sabino Front Oncol Oncology Among classical exemplifications of tumor microenvironment (TME) in lymphoma pathogenesis, the “effacement model” resembled by diffuse large B cell lymphoma (DLBCL) implies strong cell autonomous survival and paucity of non-malignant elements. Nonetheless, the magnitude of TME exploration is increasing as novel technologies allow the high-resolution discrimination of cellular and extra-cellular determinants at the functional, more than morphological, level. Results from genomic-scale studies and recent clinical trials revitalized the interest in this field, prompting the use of new tools to dissect DLBCL composition and reveal novel prognostic association. Here we revisited major controversies related to TME in DLBCL, focusing on the use of bioinformatics to mine transcriptomic data and provide new insights to be translated into the clinical setting. Frontiers Media S.A. 2020-03-31 /pmc/articles/PMC7136462/ /pubmed/32296632 http://dx.doi.org/10.3389/fonc.2020.00351 Text en Copyright © 2020 Opinto, Vegliante, Negri, Skrypets, Loseto, Pileri, Guarini and Ciavarella. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Opinto, Giuseppina Vegliante, Maria Carmela Negri, Antonio Skrypets, Tetiana Loseto, Giacomo Pileri, Stefano Aldo Guarini, Attilio Ciavarella, Sabino The Tumor Microenvironment of DLBCL in the Computational Era |
title | The Tumor Microenvironment of DLBCL in the Computational Era |
title_full | The Tumor Microenvironment of DLBCL in the Computational Era |
title_fullStr | The Tumor Microenvironment of DLBCL in the Computational Era |
title_full_unstemmed | The Tumor Microenvironment of DLBCL in the Computational Era |
title_short | The Tumor Microenvironment of DLBCL in the Computational Era |
title_sort | tumor microenvironment of dlbcl in the computational era |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7136462/ https://www.ncbi.nlm.nih.gov/pubmed/32296632 http://dx.doi.org/10.3389/fonc.2020.00351 |
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